---
schema: 1
type: term
title: agentic loop
description: >-
  An **agentic loop** is the repeating cycle an AI agent runs when given a task:
  it takes an action, checks the result, and continues working until the job is
  complete — rather than responding in a single pass. In this channel's
  material, it is the mechanism behind the _delegate-and-review_ workflow: you
  delegate the task to the agent, the loop does the iterative work, and you
  review what comes back.
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/agentic-loop-a0fc445bdae6'
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/agentic-loop-a0fc445bdae6.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# agentic loop

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/agentic-loop-a0fc445bdae6

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

An **agentic loop** is the repeating cycle an AI agent runs when given a task: it takes an action, checks the result, and continues working until the job is complete — rather than responding in a single pass. In this channel's material, it is the mechanism behind the _delegate-and-review_ workflow: you delegate the task to the agent, the loop does the iterative work, and you review what comes back.

In this channel's material, the **agentic loop** shows up as the engine behind the *delegate-and-review* workflow that the Every team highlights in their exploration of GPT-5.6 SOL in the newly merged ChatGPT + Codex desktop app. The idea: instead of doing a task yourself in one pass, you **delegate** it to an agent, and the agent works in a loop — acting, checking its own results, and continuing until the work is done. Your role shifts from doing the work to **reviewing** the output the loop produces.The team's framing is that understanding this loop is what makes agent output *dependable*. When you grasp that the agent is iterating — not answering in a single shot — you can build a trust-building playbook around it: give it a task worth delegating, let the loop run, and evaluate what comes back. That is why they call GPT-5.6 SOL the *gold standard for knowledge work*: the workflow it supports is something you can start exploring in your own day-to-day work.- The **agentic loop** is the act-check-iterate cycle an agent runs when you delegate work to it.- In this channel it underpins the **delegate-and-review** workflow: you hand off the task, the loop runs, and you review the result.- Understanding the loop is presented as the foundation for making agent output **dependable** in knowledge work.